Affordable Access

deepdyve-link
Publisher Website

Mesoporous chitosan based conformable and resorbable biostrip for dopamine detection.

Authors
  • Kafi, Md Abdul1
  • Paul, Ambarish2
  • Vilouras, Anastasios2
  • Dahiya, Ravinder3
  • 1 Department of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh; BEST Group, James Watt School of Engineering, University of Glasgow, G128QQ, UK. , (Bangladesh)
  • 2 BEST Group, James Watt School of Engineering, University of Glasgow, G128QQ, UK.
  • 3 BEST Group, James Watt School of Engineering, University of Glasgow, G128QQ, UK. Electronic address: [email protected]
Type
Published Article
Journal
Biosensors & bioelectronics
Publication Date
Jan 01, 2020
Volume
147
Pages
111781–111781
Identifiers
DOI: 10.1016/j.bios.2019.111781
PMID: 31629214
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

This work presents a chitosan based resorbable biostrip for label-free electrochemical detection of dopamine (DA).The biostrip consists of mesoporous-chitosan-graphene oxide (m-Chit-GO) composite-based sensing electrode and graphene-based interconnects. Obtained with particulate leaching, the m-chit-GO showed average pore size of 1μmwith slow (2 h) curing process. The response of DA on m-Chit-GO was investigated and compared with their bulk counterpart to study the effect of mesoporosity on voltammogram output signals. The voltammetric investigations were performed with three-electrode set-up using m-Chit-GO electrode as working electrode whereas Ag/AgCl and Graphene were used as a reference and counter electrodes, respectively. The quantitative analysis of concentration-dependent voltammetric peak-current enhancement revealed significantly higher response for m-Chit-GO (10pM) as compared to their bulk state (100 nM) on DA. The presented resorbable biostrip offers a limit of detection of 10pM and thereby shows great promise for detection of DA levels for early diagnosis of neurodegenerative diseases. Copyright © 2019 Elsevier B.V. All rights reserved.

Report this publication

Statistics

Seen <100 times